Data Visualization in R – Final project
The Spike-and-Slab Mixed-Effects Location Scale model (SS-MELSM) methodology identifies clustering units (students, classrooms, etc.) that exhibit unusual levels of residual variability—such as consistency or inconsistency—in academic achievement.
Higher (>.75) Posterior Inclusion Probability (PIP) of the scale random effect is evidence of unusual variability.
ivd is a package that facilitates the implementation of the SS-MELSM.
How can we visualize these clusters to clearly highlight what makes them unique compared to others?
ivd package.Standardized math scores from 11,386 11th and 12th-grade students across 160 schools.
I will work with posterior estimates from the scale model:
Identification of Consistent and Inconsistent Schools